UWaveGestureLibrary: UWaveGestureLibrary

In mlmts: Machine Learning Algorithms for Multivariate Time Series

UWaveGestureLibrary

Description

Multivariate time series (MTS) including gestures from certain subjects measured with an accelerometer.

Usage

data(UWaveGestureLibrary)

Format

A list with two elements, which are:

data

A list with 440 MTS.

classes

A numeric vector indicating the corresponding classes associated with the elements in data.

Details

Each element in data is a matrix formed by 315 rows (time points) indicating time recordings and 3 columns (variables) indicating coordinate (x, y or z) of each motion. The first 120 elements correspond to the training set, whereas the last 320 elements correspond to the test set. The numeric vector classes is formed by integers from 1 to 8, indicating that there are 8 different classes in the database. Each class is associated with a different gesture. For more information, see \insertCitebagnall2018uea;textualmlmts. Run "install.packages("ueadata2", repos="https://anloor7.github.io/drat")" to access this dataset and use the syntax "ueadata2::UWaveGestureLibrary".

References

\insertRef

bagnall2018ueamlmts

\insertRef

ruiz2021greatmlmts

\insertRef

bagnallwebmlmts

mlmts documentation built on Sept. 11, 2024, 6:41 p.m.